Role & responsibilities
Solid experience in Automation, functional, integration, regression, and API testing.
Experience with API testing using Postman, REST Assured, SoapUI, Swagger, or similar tools.
Experience testing REST APIs, WebSockets, event streams, and asynchronous workflows.
Basic SQL knowledge for data validation.
Understanding of Databricks, Delta tables, data pipelines, or cloud-based data platforms.
Familiarity with RAG, LLMs, embeddings, semantic search, knowledge graphs, and AI application testing.
Ability to validate AI responses against source grounding, expected business rules, and trace evidence.
Experience testing rule-based workflows, exception workflows, state machines, or case management systems.
Understanding of authentication, authorization, role-based access, data privacy, and audit validation.
Experience with test management and defect tracking tools such as Jira, Azure DevOps, or similar.
Positive analytical, communication, and documentation skills.

Preferred candidate profile




Experience testing applications on Azure Databricks, Unity Catalog, Mosaic AI, or MLflow.
Exposure to EDI/X12, healthcare transactions, pharmacy, payer, provider, claims, pricing, or drug data workflows.
Exposure to vector search, graph databases, context graphs, triple stores, or decision trace stores.
Experience with automated API testing and Python-based test automation frameworks such as PyTest.
Experience validating model outputs, prompt changes, agent workflows, and retrieval quality.
Familiarity with FDA drug data, DEA registry validation, NADAC/GPO pricing, EPCIS, VRS, or serialization workflows.
Familiarity with CI/CD validation, smoke testing, release certification, and production sanity testing.
Knowledge of observability tools such as Grafana, Prometheus, OpenTelemetry, Azure Monitor, or Log Analytics.
Understanding of healthcare, pharma, or regulated enterprise settings is a plus.

📌 Qa Ai Engineer Hyderabad
🏢 NexTurn
📍 Hyderabad